Spring 2020 - CMPT 825 G100
Natural Language Processing (3)
Class Number: 6772
Delivery Method: In Person
Course Times + Location:
Tu, Th 3:30 PM – 4:50 PM
AQ 3149, Burnaby
In this course, theoretical and applied issues related to the development of natural language processing systems and specific applications are examined. Investigations into parsing issues, different computational linguistic formalisms, natural language syntax, semantics, and discourse related phenomena will be considered and an actual natural language processor will be developed.
Imagine a world where you can pick up a phone and talk in English, while at the other end of the line your words are spoken in Chinese. Imagine a computer animated representation of yourself speaking fluently what you have written in an email. Imagine automatically uncovering protein/drug interactions in petabytes of medical abstracts. Imagine feeding a computer an ancient script that no living person can read, then listening as the computer reads aloud in this dead language. Natural Language Processing is the automatic analysis of human languages such as English, Korean, and thousands of others analyzed by computer algorithms that can make these applications possible. Unlike artificially created programming languages where the structure and meaning of programs is easy to encode, human languages provide an interesting challenge, both in terms of its analysis and the learning of language from observations.
- Language models
- Edit distance
- Supervised machine learning for NLP
- Sequence labeling
- Unsupervised machine learning for NLP
- Machine translation
- Parsing and semantics
- Final Project 30%
- 1 Midterm 20%
- 5 Homeworks 45%
- Participation 5%
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
Graduate Studies Notes:
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